
51 - 200 employees
Founded 2015
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
đ° $26M Series B - Chattermill on 2022-12
Artificial Intelligence âą SaaS âą B2B
Chattermill is a customer experience (CX) intelligence platform that unifies feedback from surveys, reviews, support tickets, social, and voice calls and applies AI to surface prioritized, evidence-backed insights. Its AI-powered analytics automatically tags, clusters and summarizes unstructured feedback so CX, Product and Support teams can diagnose root causes, prioritize fixes, and measure impact on metrics like NPS and CSAT. The platform is delivered as a cloud SaaS product for customer-centric teams and enterprises.
đ„ 14 hours ago
đŹđ§ United Kingdom â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Data Scientist
đŹđ§ UK Skilled Worker Visa Sponsor
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51 - 200 employees
Founded 2015
đ€ Artificial Intelligence
âïž SaaS
đ€ B2B
đ° $26M Series B - Chattermill on 2022-12
Artificial Intelligence âą SaaS âą B2B
Chattermill is a customer experience (CX) intelligence platform that unifies feedback from surveys, reviews, support tickets, social, and voice calls and applies AI to surface prioritized, evidence-backed insights. Its AI-powered analytics automatically tags, clusters and summarizes unstructured feedback so CX, Product and Support teams can diagnose root causes, prioritize fixes, and measure impact on metrics like NPS and CSAT. The platform is delivered as a cloud SaaS product for customer-centric teams and enterprises.
âą Train, evaluate, and iterate on machine learning models for customer feedback tasks âą Contribute to custom fine-tuning pipelines and run rigorously documented experiments âą Build and maintain LLM-powered features, including retrieval pipelines, reranking systems, and insight generation âą Contribute to evaluation frameworks by building test sets, defining metrics, and assessing model quality âą Work on semantic search and retrieval using embedding-based and other approaches âą Write clean, well-tested code âą Collaborate with Engineering on model integration, data pipelines, and monitoring âą Translate business and product requirements into practical ML experiments and solutions âą Follow relevant research and bring useful ideas into team discussions and experiments
âą Solid working knowledge of transformer architectures and their application to NLP tasks âą Proficiency in PyTorch, including training loops and standard model fine-tuning workflows âą Experience with real-world text data across classification, extraction, embeddings, or search at meaningful scale âą Exposure to instruction fine-tuning or model serving âą Grounding in classical machine learning and statistics âą Familiarity with GenAI and agentic patterns âą Clear communication skills and ability to explain technical work across functions âą Curiosity about AI and experimentation mindset âą Strong ownership instincts âą Role based in the UK âą MSc in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a closely related STEM field is listed as a bonus
âą Opportunity to join the company equity scheme âą Flexible working in a choice-first environment âą Work-from-home allowance âą 25 days holiday plus local bank holidays âą Extra day off for each year of service âą Birthday off âą Annual learning and development budget âą Equity options âą Monthly health and wellbeing budget âą Optional private healthcare plan âą Life assurance and income protection (location dependent) âą Employee Assistance Programme (location dependent) âą Enhanced family leave, fertility leave, and neonatal leave (location dependent) âą London dog-friendly office with classes, events, and rooftop terrace
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